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- Tasks: Transform complex data into actionable marketing insights and drive innovative analytics.
- Company: Join Mars, a purpose-driven company with a focus on building a better tomorrow.
- Benefits: Competitive salary, bonus, and top-notch learning opportunities from day one.
- Why this job: Lead the evolution of marketing measurement and make a real impact in a dynamic environment.
- Qualifications: Bachelor's in a quantitative field; 5+ years in marketing analytics; Python proficiency.
- Other info: Collaborative culture with diverse teams and excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about turning complex data into clear, actionable marketing intelligence? Join Mars as a Manager in Marketing Science & Insights, where you’ll serve as a key member of the Analytics & Insights for Mars Marketing (AIM) team—the Center of Excellence (COE) for Market Insights. In this pivotal role, you’ll drive the evolution of how we measure and understand the impact of marketing investments, supporting our Media Lab with advanced data science. You will have the chance to interact with agentic AI, digital twin technologies, and the use of synthetic respondents to unlock new insights.
As Mars transitions from a focus on paid media to a holistic PESO (Paid, Earned, Shared, Owned) media marketing model, you’ll help lead the charge in supporting data science and engineering efforts that measure the full spectrum of today’s marketing landscape—including the social and viral aspects that are harder to quantify. You’ll collaborate with diverse, cross‑functional teams to translate sophisticated analytics into strategic business recommendations that drive growth and innovation. If you thrive in a dynamic environment where innovation meets rigor, and you enjoy communicating complex analytics in a compelling way to senior stakeholders, this role is for you.
What are we looking for?
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, or related discipline; advanced degree (Master’s or PhD) is a plus.
- Minimum of 5 years of relevant experience in marketing analytics, data science, or related roles, preferably within consumer brands or enterprise environments.
- Strong analytical and modeling expertise, including marketing measurement, experimentation, econometrics, or advanced statistical analysis.
- Proficiency in Python for analyzing complex datasets.
- Ability to translate complex analytics into clear business recommendations that influence marketing investment and strategy.
- Experience working with large, multi-source datasets, including consumer, media, and commercial performance data.
- Collaborative leadership skills with demonstrated ability to partner across marketing, insights, media, and finance teams.
- Excellent communication skills, including the ability to create coherent PowerPoint presentations quickly for senior stakeholders.
- Bonus: Experience with causal inference frameworks; exposure to machine learning or advanced predictive modeling techniques; experience working with enterprise analytics environments or large consumer brands.
What will be your key responsibilities?
- Advance Marketing Measurement and Analytics: Develop and apply robust marketing measurement frameworks to evaluate marketing effectiveness across channels, improving methodologies to ensure credible and actionable outputs.
- Generate Strategic Insights to Inform Business Decisions: Analyze complex consumer, media, and commercial data to identify growth opportunities, performance drivers, and risks, translating findings into clear insights for marketing planning.
- Support the Development of Integrated Intelligence: Integrate insights from analytics, research, and market intelligence to build a comprehensive understanding of consumer behavior and market dynamics.
- Drive Analytical Rigor and Best Practices: Apply strong analytical discipline in statistical methods, experimentation design, and modeling to maintain high standards of rigor and transparency.
- Partner with Cross-Functional Stakeholders: Collaborate with marketing, insights, media, and finance teams to embed analytics into decision‑making processes and communicate findings effectively.
- Support Data Science and Engineering for PESO Marketing: Contribute to data science efforts supporting paid, earned, shared, and owned media (PESO), including working with agentic AI and digital twins to measure social media impact.
- Translate Technical Analytics for Business Stakeholders: Simplify complex mathematical and computational algorithms into business-friendly language and presentations.
- Data Extraction and Reporting: Perform data pulls and create compelling PowerPoint decks; experience with PowerBI or Tableau is a plus.
What can you expect from Mars?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose-driven company, striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry-competitive salary and benefits package, including company bonus.
R150372 Manager - Marketing Science & Insights in London employer: Mars, Incorporated
Contact Detail:
Mars, Incorporated Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R150372 Manager - Marketing Science & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Be ready to share how your experience aligns with the role at Mars, especially around marketing analytics and data science. We want to hear how you can turn complex data into actionable insights!
✨Tip Number 3
Showcase your analytical skills! Bring examples of your work that demonstrate your ability to translate complex analytics into clear business recommendations. This is key for impressing those senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Mars team and contributing to our innovative marketing efforts.
We think you need these skills to ace R150372 Manager - Marketing Science & Insights in London
Some tips for your application 🫡
Show Your Passion for Data: When you write your application, let your enthusiasm for turning complex data into actionable insights shine through. We want to see how your experience aligns with our mission at Mars, so don’t hold back on sharing your passion!
Tailor Your Experience: Make sure to highlight your relevant experience in marketing analytics and data science. We’re looking for someone who can translate complex analytics into clear business recommendations, so give us examples of how you've done this in the past.
Keep It Clear and Concise: Your application should be easy to read and straight to the point. Use clear language to explain your skills and experiences, especially when discussing technical aspects like Python proficiency or statistical methods. Remember, we love clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Mars!
How to prepare for a job interview at Mars, Incorporated
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and techniques in marketing analytics. Brush up on your knowledge of Python and be ready to discuss how you've used it to analyse complex datasets. Being able to share specific examples will show your expertise.
✨Translate Analytics into Action
Prepare to demonstrate how you can turn complex data into clear, actionable insights. Think of a few scenarios where your analytical skills led to strategic business recommendations. This will highlight your ability to communicate effectively with senior stakeholders.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to discuss your experience in collaboration. Share examples of how you’ve partnered with marketing, finance, or media teams to embed analytics into decision-making processes.
✨Present with Confidence
Practice creating compelling PowerPoint presentations that simplify complex analytics. You might be asked to present your findings during the interview, so being able to convey your insights clearly and confidently is key to making a great impression.